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Grant Award View - GA385896
Enhancing Multidisciplinary Team Meetings via AI-Enabled Data...
GA ID:
GA385896
Agency:
Australian Research Council
Approval Date:
9-Apr-2024
Publish Date:
1-Jul-2024
Category:
Humanities, Arts and Social Sciences (HASS) Research
Grant Term:
1-Jul-2024 to 30-Jun-2027
Value (AUD):
$760,876.07
(GST inclusive where applicable)
Original:
$786,652.00
Variations:
- GA385896-V1 - Variation to Grant (1-Jul-2024 )
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 24/25 Linkage
Grant Program:
Mid-Career Industry Fellowships
Grant Activity:
Enhancing Multidisciplinary Team Meetings via AI-Enabled Data Assimilation
Purpose:
Multidisciplinary team meetings (MDTs) involve multiple members discussing their relevant data for collaborative decision-making. MDTs improve outcomes, but they are time and resource intensive with complex data preparation, integration, presentation and then summarisation. The project aims to innovate in artificial intelligence algorithms to automatically prepare, integrate, visualise, and summarise MDT data. A Hospital is an excellent microcosm for MDTs where image data are usually the centrepiece for discussion. This project expects to produce a software framework to enhance collaborative decision-making and efficiency. This should benefit healthcare industry and have wide applicability for MDTs across other industries.
GO ID:
GO Title:
Mid-Career Industry Fellowships for funding commencing in 2024
InternalReferenceId:
IM24 Round 1
Selection Process:
Targeted or Restricted Competitive
Confidentiality - Contract:
No
Confidentiality - Outputs:
No
Grant Recipient Details
Recipient Name:
The University of Sydney
Recipient ABN:
15 211 513 464
Grant Recipient Location
Suburb:
FOREST LODGE
Town/City:
FOREST LODGE
Postcode:
2037
State/Territory:
NSW
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
NSW
Postcode:
2037
Country:
AUSTRALIA